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FastAPI Docs MCP Server

FastAPI Docs MCP Server

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    • A
      license
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      C
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      Enables AI clients to search and read FastAPI documentation through hybrid semantic and keyword retrieval, returning ranked, citable sections and full pages as structured, typed results. All retrieved text is screened by a prompt-injection guard that strips suspicious instructions and flags the results, so only indexed pages can be read and nothing hostile reaches the model.
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    • F
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      quality
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      Enables AI assistants to fetch, index, and perform semantic RAG-based searches on API documentation from various sources. It provides tools for hybrid search and collection management, allowing users to access up-to-date documentation from projects like Gemini and FastMCP.
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    • F
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      Provides AI models with direct access to documentation for over 600 technologies from DevDocs.io, including popular languages, frameworks, and tools. It enables comprehensive searching, content retrieval, and offline access via an intelligent local caching system.
      12
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    TDQS

    A4.1/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a distinct task: comparing approaches, best practices, fetching docs, examples, listing pages, and searching. No overlap in functionality.

    Naming Consistency4/5

    All names use snake_case and follow a verb_fastapi_noun pattern. Minor variation in verbs like 'compare' vs 'get' but overall consistent.

    Tool Count5/5

    Six tools is well-scoped for a documentation server, covering essential operations without being excessive or insufficient.

    Completeness4/5

    The surface covers common documentation needs (browse, search, fetch, examples, comparisons). Minor gap: no explicit tool for random page or offline caching, but core workflows are complete.

    Maintenance

    ActivityActive
    ResponsivenessNo recent community issues